| 2026 | ACL | Intrinsic Mutual Information as a Modulator for Preference Optimization. | Peng Liao, Peijia Zheng, Lingbo Li, Shangsong Liang, Lin Chen |
| 2025 | ACL | MolRAG: Unlocking the Power of Large Language Models for Molecular Property Prediction. | Ziting Xian, Jiawei Gu, Lingbo Li, Shangsong Liang |
| 2020 | ICSE | Checkers: Multi-modal Darwinian API Optimisation. | Santanu Kumar Dash, Fan Wu, Michail Basios, Lingbo Li, Leslie Kanthan |
| 2017 | SSBSE | Optimising Darwinian Data Structures on Google Guava. | Michail Basios, Lingbo Li, Fan Wu, Leslie Kanthan, Earl T. Barr |
| 2016 | RE | Exact Analysis for Next Release Problem. | Lingbo Li |
| 2015 | SSBSE | SBSelector: Search Based Component Selection for Budget Hardware. | Lingbo Li, Mark Harman, Fan Wu, Yuanyuan Zhang |
| 2014 | GECCO | Robust next release problem: handling uncertainty during optimization. | Lingbo Li, Mark Harman, Emmanuel Letier, Yuanyuan Zhang |
| 2014 | SSBSE | Pidgin Crasher: Searching for Minimised Crashing GUI Event Sequences. | Haitao Dan, Mark Harman, Jens Krinke, Lingbo Li, Alexandru Marginean, Fan Wu |
| 2012 | ICASSP | Online Bayesian dictionary learning for large datasets. | Lingbo Li, Jorge G. Silva, Mingyuan Zhou, Lawrence Carin |
| 2012 | ICML | Lognormal and Gamma Mixed Negative Binomial Regression. | Mingyuan Zhou, Lingbo Li, David B. Dunson, Lawrence Carin |
| 2012 | UAI | Nested Dictionary Learning for Hierarchical Organization of Imagery and Text. | Lingbo Li, XianXing Zhang, Mingyuan Zhou, Lawrence Carin |
| 2011 | ICASSP | Joint dictionary learning and topic modeling for image clustering. | Lingbo Li, Mingyuan Zhou, Eric Wang, Lawrence Carin |
| 2011 | ICML | On the Integration of Topic Modeling and Dictionary Learning. | Lingbo Li, Mingyuan Zhou, Guillermo Sapiro, Lawrence Carin |